极地研究 ›› 2015, Vol. 27 ›› Issue (3): 312-318.DOI: 10.13679/j.jdyj.2015.3.312

• 研究论文 • 上一篇    下一篇

iOS平台下的雪龙监控系统设计与实现

黄冬梅1 郭颖新1 赵丹凤1 何盛琪1 刘健2   

  1. 1 上海海洋大学,上海 201306;
    2 中国极地研究中心,上海 200136
  • 收稿日期:2014-03-13 修回日期:2014-06-13 出版日期:2015-09-30 发布日期:2015-09-30
  • 通讯作者: 郭颖新
  • 基金资助:

    国家自然科学基金资助项目;科技部973项目;极地环境与资源信息集成及共享服务

DESIGN AND IMPLEMENTATION OF XUELONG MONITORING SYSTEM BASED ON IOS PLATFORM

Huang Dongmei1, Guo Yingxin1, Zhao Danfeng1, He Shengqi1, Liu Jian2   

  1. 1 Shanghai Ocean University, Shanghai 201306, China; 2 Polar Research Institute of China, Shanghai 200136, China
  • Received:2014-03-13 Revised:2014-06-13 Online:2015-09-30 Published:2015-09-30
  • Contact: Ying-Xin GUO

摘要: “雪龙”号是我国最先进的科学考察船,随着雪龙在线网络信息平台的不断发展和完善,人们对通过移动终端获取“雪龙”号最新信息的需求愈加迫切,为搭建一个连接“雪龙”号和社会公众及工作人员的iOS信息平台,设计并开发了iOS平台下的雪龙监控系统。该系统是一个C/S架构的在线App系统,实现了准实时展示“雪龙”号航迹、查询历史航迹、显示相关要素数据、接收和发布信息、查询关键节点信息等功能,解决了在海量航线节点中筛选关键拐点,以及航线绘制中两点连线不能通过180度经线等问题,成功应用于辅助相关工作人员了解“雪龙”号最新信息,及时做出正确决策。

关键词: 雪龙号, 移动终端, iOS, ArcGIS

Abstract: "Xuelong" is the most advanced scientific research vessel in China. With the continuous development and improvement of Xuelong online information platform, the demand for access to the latest "Xuelong" information via mobile terminals becomes more urgent. In order to build a information iOS platform which links "Xuelong" with the public and staff, we design and develop the Xuelong monitoring system based on iOS platform. The system is a C/S structure of the online App system, aims to achieve a real-time display "Xuelong" track, query the historical track, display relevant elements of data, receive and publish information, query the key node information and so on. It solves the screening of the key turning point among the massive route nodes, and the problem of straight line can’t across the 180 degree line of longitude while drawing route and other issues. Successfully applied to help relevant staff know the latest information of "Xuelong" and make right decisions without delay.

Key words: Xuelong, mobile terminal, iOS, ArcGIS